Longitudinal analysis of neural network development in preterm infants.

By Christopher D. Smyser, T. Inder, Joshua S. Shimony, J. Hill, A. Degnan, Abraham Z. Snyder, J. Neil. Cerebral Cortex, 2010

773 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Pediatrics, Perinatology and Child Health

View Paper: https://www.semanticscholar.org/paper/1a11cea974e5943d664fc0ddc2c6bd5d689832bc

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In Cognitive Neuroscience

In Pediatrics, Perinatology and Child Health

Citations in the corpus

Data Quality Influences Observed Links Between Functional Connectivity and Behavior (2017, methodology): “Corrupted volumes were identified on the basis of FD as well as the voxel-wise differentiated signal variance (DVARS) (Smyser et al. 2010).”
Procedural pain and brain development in premature newborns (2012, result): “Pain-induced overstimulation may thus lead to neuronal damage and subsequently to a reduction of axonal connections in preterm infants, which is in line with other studies suggesting alterations in cortical connectivity in children born preterm.(37,38) Our findings are consistent with a report on 8 ”
Growing together and growing apart: Regional and sex differences in the lifespan developmental trajectories of functional homotopy (2010, background): “Although task-based studies generally interpret greater bilaterality as reflecting cortical immaturity (Bunge et al., 2002; Wood et al., 2004; Smyser et al., 2010), reasons for the re-emergence of bilaterality in aging are debated.”
Recent progress and outstanding issues in motion correction in resting state fMRI (2014, positive): “Below, in blue, is DVARS (Smyser et al., 2010), a measure of how rapidly and ubiquitously signal changes from volume to volume (discussed later).”
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion (2011, neutral): “DVARS was first described and applied in (Smyser et al., 2010).”
Resting state fMRI: A review of methods and clinical applications (2012, positive): “Smyser et al 80 performed longitudinal analysis of network development in a cohort of very preterm infants during the neonatal period.”
Methods for cleaning the BOLD fMRI signal (2016, positive): “…can be formulated from the data itself, for example as it is measured by the Derivative or root mean square VARiance over voxelS (DVARS) (Smyser et al., 2010), based on fractions of the brain appearing as temporal outliers (as can be done with afni_proc.py), or detecting time points…”
Methods to detect, characterize, and remove motion artifact in resting state fMRI (2013, methodology): “This measure indexes the change in signal intensity from one volume to the next, and is calculated as the root mean square value of the differentiated BOLD timeseries (by backwards differences) within a spatial mask at every timepoint (Smyser et al., 2010).”
Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “…componentbased approaches demonstrate the existence of robust, bilateral segregated networks for somatomotor, primary auditory, primary visual, and extrastriate visual cortex (Fransson et al., 2007; Gao et al., 2015a; Kiviniemi et al., 2000; Lin et al., 2008; Liu et al., 2008; Smyser et al., 2010).”
A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series (2014, methodology): “…vector for each subject using four different methods; including three previously published measures: Framewise Displacement (FD; Power et al., 2012), root mean square displacement (rmsFD; Satterthwaite et al., 2012, 2013), DVARS (Smyser et al., 2010; Power et al., 2012), and Spike Percentage (new).”
A Brain-Wide Study of Age-Related Changes in Functional Connectivity. (2015, methodology): “Scans in which the RMS was >3 standard deviations above the average were flagged (Smyser et al. 2010; Shannon et al. 2011).”
The UNC/UMN Baby Connectome Project (BCP): An Overview of the Study Design and Protocol Development (2018, positive): “A smaller number of more recent studies have also begun elucidating the nature of intrinsic functional connectivity networks across the infant/toddler period (Damaraju et al., 2014; Emerson et al., 2016; Gao et al., 2009, 2015; Graham et al., 2016; Lin et al., 2008; Pruett et al., 2015; Qiu et al., ”
Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age (2026, unknown): “Previous work has demonstrated the presence and patterns of major brain networks' functional connectivity in fetuses 3 as well as in preterm 4 – 6 and term infants 7,8 .”